DocumentCode
3088911
Title
SWOB: Swarm Intelligent Odour Based Routing for geographic wireless sensor network applications
Author
Ghataoura, D.S. ; Yang Yang ; Matich, G. ; Galileo, S.
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. Coll. London, Torrington, CT, USA
fYear
2009
fDate
18-21 Oct. 2009
Firstpage
1
Lastpage
7
Abstract
For wireless sensor networks (WSN) involved in geographical surveillance type applications, obtaining information from a specified region of interest is important. The information itself is dependent upon the application type specific sensors deployed within the network region. For the purpose of this study we propose a new routing protocol called swarm intelligent odour based routing (SWOB) that uses network topology and geographic location information to coordinate effectively the routing tasks for information agents to traverse the network to the region of interest. SWOB applies the principles provided by social insects in odour localization. Using this natural principle SWOB uses a virtual Gaussian odour plume technique to describe the odour dispersion effects found in nature, allowing information agents in a distributed manner to be guided towards the region of interest effectively. Simulation results show the proposed scheme does indeed provide advantages on improving on latency by 98% and energy consumption performance by 75% when compared with basic flooding.
Keywords
Gaussian processes; routing protocols; telecommunication network topology; wireless sensor networks; bandwidth efficiency; geographic location information; geographic wireless sensor networks; geographical surveillance; information agents; network topology; node location model; odour dispersion effects; routing protocols; swarm intelligent odour based routing; virtual Gaussian odour plume; Dispersion; Insects; Intelligent agent; Intelligent networks; Intelligent sensors; Network topology; Particle swarm optimization; Routing protocols; Surveillance; Wireless sensor networks; Wireless sensor networks; bandwidth effeciency; energy effeciency; swarm intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Military Communications Conference, 2009. MILCOM 2009. IEEE
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-5238-5
Electronic_ISBN
978-1-4244-5239-2
Type
conf
DOI
10.1109/MILCOM.2009.5380107
Filename
5380107
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